Improving Named Entity Recognition by Jointly Learning to Disambiguate Morphological Tags

17 July 2018

Papers citing "Improving Named Entity Recognition by Jointly Learning to Disambiguate Morphological Tags"

10 / 10 papers shown

Title
Optimal Hyperparameters for Deep LSTM-Networks for Sequence Labeling Tasks Nils Reimers Iryna Gurevych 61 291 0 21 Jul 2017
Morphological Embeddings for Named Entity Recognition in Morphologically Rich Languages Onur Güngör Eray Yildiz S. Uskudarli Tunga Güngör 44 10 0 01 Jun 2017
A Morphology-aware Network for Morphological Disambiguation Eray Yildiz C. Tirkaz H. B. Sahin M. Eren O. O. Sonmez 23 35 0 13 Feb 2017
A Joint Many-Task Model: Growing a Neural Network for Multiple NLP Tasks Kazuma Hashimoto Caiming Xiong Yoshimasa Tsuruoka R. Socher KELM 78 575 0 05 Nov 2016
Multi-Task Cross-Lingual Sequence Tagging from Scratch Zhilin Yang Ruslan Salakhutdinov William W. Cohen VLM 56 227 0 20 Mar 2016
Neural Architectures for Named Entity Recognition Guillaume Lample Miguel Ballesteros Sandeep Subramanian Kazuya Kawakami Chris Dyer 219 2 0 04 Mar 2016
End-to-end Sequence Labeling via Bi-directional LSTM-CNNs-CRF Xuezhe Ma Eduard H. Hovy 90 2,651 0 04 Mar 2016
Multi-task Sequence to Sequence Learning Minh-Thang Luong Quoc V. Le Ilya Sutskever Oriol Vinyals Lukasz Kaiser AIMat 107 807 0 19 Nov 2015
Bidirectional LSTM-CRF Models for Sequence Tagging Zhiheng Huang Wenyuan Xu Kai Yu 171 4,025 0 09 Aug 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.7K 150,006 0 22 Dec 2014